Financial Data Engineer, Investments, Associate

Key Requirements:

• 3-6 years Data Engineering experience preferably in the financial sector
• Familiarity with any aspect of Fixed Income Index and Market Data including ICE, Bloomberg, JP Morgan, FTSE/Russell, and IBOXX. Liquidity, Venue, and Direct Broker Dealer Market Maker Axe Data. Pricing Data from sources like SP Global Live Bond Pricing or Bloombergs IBVAL.
• Understand Portfolio Management Fundamentals: Asset Management and FI Trading.
• A passion for Financial and Capital Markets.
• Proven experience working in an agile development team.
• Strong problem solving skills.
• Strong SQL and Python skills with a proven track record optimizing SQL queries.
• Curiosity of financial markets.

Good to Have:

• Bachelor s degree in Computer Science, Engineering, Finance, Economics, or a related field. A Master s degree or equivalent experience is a plus.
• Knowledge of Linux and scripting languages such as Bash
• Experience with MySQL, PostgreSQL, Greenplum, Snowflake or similar databases.
• Strong experience with ETL/ELT tools like DBT, Pentaho, Informatica or similar technologies.
• Experience with DevOps and tools like Azure DevOps